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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-21 07:51:49</p>
            <p>spark.kmedoids.eval.fish.TestCase : -d fish-timeseries-0 -r Dropbox/eurecom-cluster/results/ -s 6621000 -s 13242000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.fish.ClaransTest</li>
                                    <li>spark.kmedoids.eval.fish.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.fish.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100498-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3985.769032466216</td>
                                                <td>579882</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3964.30814898927</td>
                                                <td>413115</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4041.4644284837486</td>
                                                <td>447332</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3975.754743284541</td>
                                                <td>559282</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3947.127107982755</td>
                                                <td>461423</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4005.0498958123753</td>
                                                <td>444445</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3957.8670290405794</td>
                                                <td>429745</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3980.8536716329454</td>
                                                <td>396663</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4053.3593555209904</td>
                                                <td>380460</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4052.539770538445</td>
                                                <td>406286</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4020.6043663267274</td>
                                                <td>403678</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3995.060324784688</td>
                                                <td>411239</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4091.4360398165218</td>
                                                <td>433004</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3966.989631270048</td>
                                                <td>432931</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3990.7753593207767</td>
                                                <td>434556</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4025.9147062178954</td>
                                                <td>417021</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4041.492863509641</td>
                                                <td>423672</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3950.403485120863</td>
                                                <td>528815</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4031.1653009337974</td>
                                                <td>541172</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4054.9536453311193</td>
                                                <td>551228</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4048.0501094848078</td>
                                                <td>1145392</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>3999.4896476182475</td>
                                                <td>985713</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4056.870187794737</td>
                                                <td>893704</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4029.159703013919</td>
                                                <td>1148589</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4072.7462836502764</td>
                                                <td>905526</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4039.7070760416473</td>
                                                <td>909058</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4078.2423116768687</td>
                                                <td>1146455</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4054.2145632109923</td>
                                                <td>784597</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4045.026296317045</td>
                                                <td>790995</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4047.806879656043</td>
                                                <td>796403</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>3992.496537404845</td>
                                                <td>1065897</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4046.088273061263</td>
                                                <td>840425</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>3994.8202707015093</td>
                                                <td>912635</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4064.2248784824806</td>
                                                <td>989792</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4036.116196989463</td>
                                                <td>802005</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4070.3951027939283</td>
                                                <td>816277</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4060.9926270093342</td>
                                                <td>859559</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4043.025971461051</td>
                                                <td>767112</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4032.15352179544</td>
                                                <td>815280</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4086.261519431896</td>
                                                <td>856683</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4000.196372277054</td>
                                                <td>492065</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4052.4666582533055</td>
                                                <td>473195</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4055.4665523880008</td>
                                                <td>579791</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3993.6812302367953</td>
                                                <td>446102</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4046.949844987203</td>
                                                <td>430448</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4022.112917801779</td>
                                                <td>570626</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4046.2295319424184</td>
                                                <td>401970</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3920.9652806781805</td>
                                                <td>448589</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4049.8639654509566</td>
                                                <td>403935</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3987.503638777926</td>
                                                <td>430068</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4012.0109366266715</td>
                                                <td>429909</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3969.3244150005676</td>
                                                <td>431325</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4105.923597538217</td>
                                                <td>407423</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3996.028022016022</td>
                                                <td>353006</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4051.8068915020594</td>
                                                <td>570197</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3982.977679656169</td>
                                                <td>427461</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3997.2069158947033</td>
                                                <td>430033</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3999.554761740948</td>
                                                <td>435790</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4006.992929104134</td>
                                                <td>542811</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3946.901953111245</td>
                                                <td>391506</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4030.321662044651</td>
                                                <td>855906</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4076.2217543341117</td>
                                                <td>890146</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4062.1425631743177</td>
                                                <td>1103591</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4068.8282480436765</td>
                                                <td>911508</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4085.581629271915</td>
                                                <td>861354</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4074.117890418961</td>
                                                <td>955634</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4062.441766061058</td>
                                                <td>741276</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4070.797692005922</td>
                                                <td>811738</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4058.616388314699</td>
                                                <td>793223</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4039.520631042825</td>
                                                <td>803619</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4063.5758969282715</td>
                                                <td>885227</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4120.029247276617</td>
                                                <td>840921</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4085.9377009685786</td>
                                                <td>785352</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4078.6692744904103</td>
                                                <td>799373</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4093.387796904392</td>
                                                <td>1097025</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4001.6953706363556</td>
                                                <td>861806</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4055.968579014846</td>
                                                <td>913076</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4050.064161934313</td>
                                                <td>841582</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4036.2858423693965</td>
                                                <td>798260</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4105.976270214407</td>
                                                <td>1116429</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4008.79674493712</td>
                                                <td>604940</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4098.626955560055</td>
                                                <td>459998</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4070.0653178812354</td>
                                                <td>460492</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3977.132484351954</td>
                                                <td>493005</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4003.2812040236113</td>
                                                <td>462298</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4017.2473985988304</td>
                                                <td>474897</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3998.456186863106</td>
                                                <td>565544</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4069.6081262427633</td>
                                                <td>412488</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3960.140961329107</td>
                                                <td>411620</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3973.172570426381</td>
                                                <td>412792</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4029.8104612204793</td>
                                                <td>546483</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4051.994602673618</td>
                                                <td>415248</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3924.972209140016</td>
                                                <td>407976</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3913.791312748867</td>
                                                <td>534625</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4086.0418439609966</td>
                                                <td>413035</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4026.381070391865</td>
                                                <td>510623</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4016.2130757172213</td>
                                                <td>588150</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4024.305304284767</td>
                                                <td>422649</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3979.8848811179246</td>
                                                <td>548969</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4005.404319531616</td>
                                                <td>387883</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4062.132436933446</td>
                                                <td>882005</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4027.028232192805</td>
                                                <td>957176</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>3985.363066775215</td>
                                                <td>951527</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4045.709103527255</td>
                                                <td>889342</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>3993.863467388167</td>
                                                <td>922006</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4032.173704769609</td>
                                                <td>885599</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4063.1693621560667</td>
                                                <td>1140300</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4057.2442124201607</td>
                                                <td>1037561</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4031.8963014074757</td>
                                                <td>791665</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4045.516849239336</td>
                                                <td>841768</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4054.2467889253303</td>
                                                <td>1067466</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4076.522874944717</td>
                                                <td>858405</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4037.2080307728324</td>
                                                <td>800851</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4070.982575860453</td>
                                                <td>724555</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4050.6332649776905</td>
                                                <td>804982</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4066.989379082695</td>
                                                <td>827936</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4031.9507998943373</td>
                                                <td>1106245</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4059.868348687804</td>
                                                <td>840816</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4068.535345666434</td>
                                                <td>1114285</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4054.873164862858</td>
                                                <td>716396</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4006.6444453191966</td>
                                                        <td>454797.45</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>41.230762494511644</td>
                                                        <td>61087.19731789356</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3987.347854484087</td>
                                                        <td>426207.76160740945</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4025.9410361543064</td>
                                                        <td>483387.13839259057</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4044.89439787979</td>
                                                        <td>911604.8500000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>26.121413784352693</td>
                                                        <td>127268.03501573282</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4032.6691999126574</td>
                                                        <td>852041.5761358822</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4057.119595846923</td>
                                                        <td>971168.123864118</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4012.208204749217</td>
                                                        <td>454812.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>42.78391501594078</td>
                                                        <td>64084.90322549494</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3992.184716158711</td>
                                                        <td>424819.84205644194</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4032.2316933397233</td>
                                                        <td>484805.15794355806</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4066.009018272486</td>
                                                        <td>883352.2999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>26.994003139976442</td>
                                                        <td>108670.26547705052</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4053.3754359160325</td>
                                                        <td>832493.0502072629</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4078.64260062894</td>
                                                        <td>934211.549792737</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4011.7663515500767</td>
                                                        <td>476685.75</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>49.18919635189357</td>
                                                        <td>68126.02079882238</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3988.7450990171724</td>
                                                        <td>444801.79081408796</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4034.787604082981</td>
                                                        <td>508569.70918591204</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4045.7953655242345</td>
                                                        <td>908044.2999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>24.02346463794099</td>
                                                        <td>127285.39995661634</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4034.5520379815584</td>
                                                        <td>848472.899093382</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4057.0386930669106</td>
                                                        <td>967615.7009066179</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 6621000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7232162629673027</td>
                                                                            <td>0.6777496420765817</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.7232162629673027</td>
                                                                            <td>1.0</td>
                                                                            <td>0.9759809125122573</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.6777496420765817</td>
                                                                            <td>0.9759809125122573</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.3242E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.9102076600786271</td>
                                                                            <td>0.01630452813165684</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.9102076600786271</td>
                                                                            <td>1.0</td>
                                                                            <td>0.01685063476450764</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.01630452813165684</td>
                                                                            <td>0.01685063476450764</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.fish.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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